Knowledge Management System of Hefei Institute of Physical Science,CAS
PID Controller-Inspired Model Design for Single Image De-Raining | |
Zhou, Man1,2,3; Wang, Fan1,2,3; Wei, Xian4; Wang, Rujing1,2; Wang, Xue1,2 | |
2022-04-01 | |
发表期刊 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS |
ISSN | 1549-7747 |
通讯作者 | Wei, Xian(xian.wei@tum.de) ; Wang, Xue(xwang@iim.ac.cn) |
摘要 | Deep learning based methods have achieved remarkable breakthroughs on the single image de-raining task. However, most of the current models are constructed by empirically designing black-box network architectures. These network architectures always lack sufficient interpretability, which limits their further improvements in de-raining performance. In this brief, inspired by the classical Proportional Integral Derivative (PID) controller and feedback mechanism in the automatic control community, we propose a novel de-raining network architecture to address the above issues. Specifically, since the PID controller can speed up the system convergence and eliminate the system steady-state error, this motivates us to mimic the signal processing flow of PID controller to provide an interpretable and reliable guideline on de-raining network designs. By casting the signal flow process in the PID controller as blueprints, we extend the PID controller to an almost parameter-free network module, named PID-IM with every component in the module one-to-one corresponding to each operation involved in PID controller. Equipped with PID-IM, our proposed network could efficiently explore and exploit the features of rain streaks in a recursive fashion. Extensive experiments on several benchmarks demonstrate that our method has best performance over other de-raining methods. In addition, by directly embedding our PID-IM into existing baseline networks, the de-raining performance can be significantly improved. |
关键词 | Control theory single image de-raining neural network |
DOI | 10.1109/TCSII.2021.3137935 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[31671586] |
项目资助者 | National Natural Science Foundation of China |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Electrical & Electronic |
WOS记录号 | WOS:000773270900076 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.hfcas.ac.cn:8080/handle/334002/128642 |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Wei, Xian; Wang, Xue |
作者单位 | 1.Chinese Acad Sci, Inst Intelligent Machines, Intelligent Agr Engn Lab Anhui Prov, Hefei 230031, Peoples R China 2.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China 3.Univ Sci & Technol China, Hefei 230026, Peoples R China 4.East China Normal Univ, MOE Engn Res Ctr Software & Hardware Codesign & A, Shanghai 200062, Peoples R China |
推荐引用方式 GB/T 7714 | Zhou, Man,Wang, Fan,Wei, Xian,et al. PID Controller-Inspired Model Design for Single Image De-Raining[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS,2022,69. |
APA | Zhou, Man,Wang, Fan,Wei, Xian,Wang, Rujing,&Wang, Xue.(2022).PID Controller-Inspired Model Design for Single Image De-Raining.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS,69. |
MLA | Zhou, Man,et al."PID Controller-Inspired Model Design for Single Image De-Raining".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 69(2022). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论